Plain Sight

"Plain sight" research encompasses diverse efforts to understand how information, whether visual, auditory, or textual, can be perceived, processed, and manipulated, even when seemingly obvious or readily available. Current research focuses on improving multimodal models (e.g., integrating vision and language, vision and sound) for tasks like navigation, object detection, and generation, often employing techniques like diffusion models and graph neural networks to address challenges such as bias, hallucination, and robustness. This work has significant implications for advancing AI capabilities in various fields, including autonomous systems, medical imaging, and cybersecurity, while also raising crucial ethical considerations regarding privacy and the potential for misuse.